Clinical Report: Radiomic Evaluation of Glioma Invasion Linked to HSP70 Expression

Overview

Revise to highlight the clinical implications of Hsp70 expression in glioma invasion.

Background

Glioma invasion into surrounding brain tissue is a critical factor influencing disease progression and patient outcomes. Conventional MRI often fails to distinguish between infiltrative tumor cells and peritumoral edema, highlighting the need for advanced imaging techniques. Radiomics offers a promising approach to extract quantitative imaging features that may provide insights into tumor biology and invasion patterns.

Data Highlights

Key Findings

• The SVM classifier achieved an AUC of 0.875, indicating strong discriminative performance.
• Higher-order texture features were identified as significant contributors to model predictions through SHAP analysis.
• The Invasion Burden Index (IBI) correlated positively with mHsp70 expression in a validated subgroup.
• Regions with elevated radiomic signatures often extended beyond conventional MRI-defined tumor margins.
• Stable correlations were observed in sensitivity analyses, confirming the robustness of findings.

Clinical Implications

The study underscores the potential of radiomic analysis to enhance the understanding of glioma invasion and its biological correlates. Clinicians may consider integrating radiomic features into routine imaging assessments to better characterize tumor behavior and inform treatment strategies.

Conclusion

Radiomic evaluation of the peritumoral zone provides valuable insights into glioma invasion and its association with Hsp70 expression. These findings advocate for further research into the clinical applications of radiomics in glioma management.

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